Short-Term Exercise Training Alters Leukocyte Chemokine Receptors in Obese Adults
Bibliographic record
Abstract
Obesity is characterized by chronic low-grade inflammation driven by activation and tissue infiltration of circulating leukocytes. Although exercise has anti-inflammatory effects, the impact of exercise on mediators of leukocyte migration is unclear. PURPOSE: To determine the impact of high-intensity interval training (HIIT) versus moderate-intensity continuous training (MICT), in the absence of weight/fat loss, on circulating chemokines and leukocyte chemokine receptors. METHODS: Thirty-seven inactive obese adults were randomized to 2 wk (10 sessions) of HIIT or MICT with fasting blood samples collected before and after training. Plasma concentration of C-C motif chemokine ligand 2 (CCL2; also known as monocyte chemoattractant protein-1), CCL3 (also known as macrophage inflammatory protein-1alpha), and C-X-C motif ligand 8 (CXCL8; also known as interleukin-8) were determined and the chemokine receptors CCR2, CCR5, and CXCR2 were measured on monocytes, neutrophils, and T cells. RESULTS: MICT reduced the percentage of monocytes positive for CCR2 and reduced surface protein expression of CXCR2 on monocytes (both P < 0.05), whereas HIIT increased CCR5 surface protein expression and percentage CCR5 positive monocytes and neutrophils (all P < 0.05) along with increasing the percentage of T cells that were positive for CCR5 (P < 0.05). There were no significant changes in circulating chemokines, percent body fat or visceral adipose tissue. CONCLUSIONS: Exercise, in the absence of weight/fat loss and without changes in circulating chemokines, has direct effects on leukocytes in obese adults with HIIT and MICT resulting in different responses. MICT may reduce monocyte migration potential through downregulation of CCR2 and CXCR2, whereas HIIT may increase potential for CCR5-mediated monocyte, neutrophil, and T-cell infiltration. The impact of different exercise protocols on leukocyte trafficking to tissues in obesity warrants further research.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 0.000 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".